Version Information
- Version
- 3.2
- Release date
- Oct 2, 2026
- Size
- 22.3 MB
- Android
- 7.0+
- File type
- APK
- Package
- com.photoeffectstudio.aiphotoframe
- Developer
- SB Apps Studio
About Photo Frame Ai Greetings 2026
Photo Frame Ai Greetings 2026 is a photography app from SB Apps Studio that brings AI-assisted framing and greeting-style compositions to your pictures. It is built for anyone who likes to dress up photos for occasions and share something a little more polished than a plain snapshot. The current build is version 3.2, released 2026-10-02. Frames and greeting compositions As the name suggests, the app centres on placing your photos into decorative frames and greeting layouts. Rather than leaving you with a raw image, it gives you themed compositions you can put together for holidays, celebrations or simple messages to friends and family. The emphasis is on turning a photograph into something presentable and personal, so the finished result reads as a card or a keepsake rather than a casual picture. Where it sits in photography tools Most camera apps stop at capturing an image, and most editors stop at correcting one. This app occupies the space after both of those steps, where the picture is already on your device and you want to present it. That makes it a natural companion to the camera and gallery apps already on your phone, used in short sessions when you have a photo and an occasion in mind. Size, compatibility and setup The package installs as a 22.3 MB download, which is modest enough to keep on a device without much juggling of storage. The build requires Android 7.0 or newer, so a wide range of handsets can run it; more recent devices will have no trouble meeting the requirement. The listing does not state a content rating. The current build Version 3.2 is the release identified with this listing, dated 2026-10-02, and it is the build you receive when installing the app. SB Apps Studio is the developer behind it, and the app is filed under the photography category, which reflects its focus on image composition rather than capture or filtering alone.